A display apparatus and method that reduces block noise by performing block noise boundary detections and generating a block noise boundary map on the basis of a result of the detections to cope with local random block noise having irregular shaped and blurred block boundaries to perform adaptive deblocking filtering. The apparatus includes: an image receiver; a map generator to generate a block boundary map by performing convolution using a plurality of kernels on a received image; a determiner to determine a filter parameter on the basis of the block boundary map and a block boundary period included in the block boundary map; a deblocking filter to vary a filter strength on the basis of the determined filter parameter; and a display on which an image in which block noise is removed by the deblocking filter is displayed.
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1. A display apparatus comprising: a display; a memory configured to store instructions; and a processor configured to execute the instructions to: provide a block boundary map including a first block boundary map corresponding to an image received from an image provider by performing convolution using a plurality of kernels on the image received from the image provider and a second block boundary map by correcting the first block boundary map based on continuity of a block boundary included in the first block boundary map; obtain a histogram by accumulating a number of block boundaries included in the second block boundary map; obtain an average block edge strength based on the histogram; identify a block boundary period based on the average block edge strength; identify a filter parameter based on the block boundary map corresponding to the image and the block boundary period corresponding to block boundaries included in the block boundary map corresponding to the image, the block boundary period indicating an interval between the block boundaries included in the block boundary map corresponding to the image; perform deblocking filtering on the image by varying a filter strength based on the identified filter parameter; and control the display to display the image in which block noise is removed by the deblocking filtering.
This invention relates to a display apparatus designed to reduce block noise in displayed images. Block noise, often caused by compression artifacts in video or image processing, appears as visible grid-like distortions. The apparatus includes a display, memory, and processor that execute instructions to analyze and mitigate these artifacts. The processor generates a block boundary map by applying convolution operations using multiple kernels to an input image, producing a first boundary map. This map is refined into a second boundary map by enforcing continuity in the detected block boundaries. A histogram of block boundaries is then generated, and an average block edge strength is calculated from this histogram. The system identifies the periodicity of block boundaries (the interval between them) based on this strength. Using the refined boundary map and the identified period, a filter parameter is determined to guide deblocking filtering. The processor applies adaptive deblocking filtering, adjusting filter strength according to the parameter, to remove block noise. The processed image is then displayed on the screen. This approach dynamically adjusts filtering based on detected block noise patterns, improving visual quality without over-smoothing or under-correcting.
2. The display apparatus of claim 1 , wherein the processor is configured to provide a third block boundary map by correcting the second block boundary map based on the identified block boundary period.
A display apparatus includes a processor that generates a block boundary map to identify block boundaries in a displayed image. The processor first creates a first block boundary map by analyzing the image to detect block boundaries, which are often caused by compression artifacts or image processing techniques that create visible grid-like patterns. The processor then generates a second block boundary map by applying a filtering operation to the first block boundary map to reduce noise and refine the detected boundaries. To further improve accuracy, the processor identifies a block boundary period, which represents the repeating pattern of the block boundaries. Using this period, the processor corrects the second block boundary map to produce a third block boundary map, ensuring that the detected boundaries align with the actual periodic structure of the image. This correction step enhances the precision of block boundary detection, which can be used for post-processing tasks such as artifact reduction, image enhancement, or adaptive display adjustments. The apparatus may be part of a television, monitor, or other display device that processes and displays digital images.
3. The display apparatus of claim 2 , wherein the processor is configured to identify the filter parameter based on at least one of the average block edge strength, the block boundary period, a reliability of the block boundary period, or a block edge strength included in the third block boundary map.
A display apparatus includes a processor configured to analyze block boundaries in an image to improve visual quality. The apparatus detects block boundaries by comparing pixel values across adjacent blocks, generating a block boundary map that highlights edges between blocks. The processor calculates an average block edge strength, representing the intensity of detected edges, and a block boundary period, indicating the frequency of block boundaries. The processor also assesses the reliability of the block boundary period to determine its consistency. Additionally, the processor generates a third block boundary map that includes block edge strength values for further analysis. Based on these metrics, the processor identifies a filter parameter to adjust image processing, such as deblocking or sharpening, to reduce visible artifacts or enhance image clarity. The apparatus may also include a display panel and a memory storing the image data. The processor's analysis helps optimize image rendering by dynamically selecting filter parameters tailored to the detected block boundaries, improving visual quality in compressed or processed images.
4. The display apparatus of claim 3 , wherein the processor is configured to adjust the filter strength to be proportional to the block boundary period or a magnitude of the average block edge strength.
A display apparatus includes a processor that analyzes video content to detect block artifacts, which are visual distortions caused by compression techniques like block-based coding. These artifacts appear as visible grid-like patterns or abrupt edges between adjacent blocks in the image. The processor identifies block boundaries by analyzing pixel data and calculates the periodicity of these boundaries or measures the average edge strength along them. To mitigate these artifacts, the processor applies a filtering operation to smooth the transitions between blocks. The filter strength is dynamically adjusted based on the detected block boundary period or the magnitude of the average block edge strength. For example, stronger filtering is applied when block boundaries are more frequent or when the edges between blocks are more pronounced. This adaptive filtering reduces visual artifacts while preserving image details, improving the overall viewing experience. The apparatus may also include a display panel and a memory for storing video data and filter parameters. The processor may further classify the video content into different categories, such as natural scenes or synthetic graphics, to optimize the filtering process. The filtering may be applied in the spatial domain, temporal domain, or both, depending on the type of artifacts detected.
5. The display apparatus of claim 1 , wherein the processor is configured to perform normalization on the image received from the image provider.
A display apparatus includes a processor that receives an image from an image provider and performs normalization on the image. The normalization process adjusts the image data to a standardized format, ensuring consistent brightness, contrast, or color levels across different input sources. This standardization improves visual quality and reduces variations caused by differences in image capture or transmission conditions. The apparatus may also include a display unit that presents the normalized image to a user, ensuring a uniform viewing experience regardless of the original image characteristics. The normalization process may involve scaling pixel values, adjusting gamma correction, or applying color calibration to match predefined display standards. This feature is particularly useful in applications where multiple image sources are displayed simultaneously, such as in medical imaging, surveillance systems, or digital signage, where consistency is critical. The processor may further apply additional image processing techniques, such as noise reduction or sharpening, to enhance the final output. The display apparatus ensures that images from various sources are optimized for viewing, maintaining clarity and accuracy.
6. The display apparatus of claim 1 , wherein the processor is configured to provide a plurality of correlation maps based on the correlation values, and provide the first block boundary map based on locations of selected pixels in the plurality of correlation maps.
This invention relates to display apparatuses that analyze and process image data to enhance visual quality. The problem addressed is improving the detection of block boundaries in images, which can arise from compression artifacts or other processing steps, to enable better post-processing or correction techniques. The display apparatus includes a processor that generates correlation values between adjacent pixels in an image. These correlation values are used to create multiple correlation maps, each representing spatial relationships between pixels. The processor then selects specific pixels from these maps based on their correlation values and generates a first block boundary map. This map highlights the locations where block boundaries are likely present, allowing subsequent processing steps to refine or correct these boundaries for improved image quality. The correlation maps are derived by analyzing pixel relationships across different regions of the image, and the selection of pixels for the block boundary map is based on identifying significant changes in correlation values, which often indicate the presence of artificial boundaries. The apparatus may further include a display panel to render the processed image with reduced or eliminated block artifacts, enhancing visual clarity. This technique is particularly useful in applications where image compression or block-based processing is involved, such as video streaming, digital photography, or medical imaging.
7. The display apparatus of claim 6 , wherein the first block boundary map includes a two-directional map provided in a horizontal direction and a vertical direction.
The invention relates to display apparatuses, specifically those designed to improve image processing by analyzing block boundaries within an image. The problem addressed is the need for efficient and accurate detection of block boundaries, which are often artifacts introduced during image compression or encoding. These boundaries can degrade visual quality, particularly in high-resolution displays. The display apparatus includes a block boundary detection unit that generates a first block boundary map. This map is a two-directional representation, containing information about block boundaries in both horizontal and vertical directions. The two-directional map allows for comprehensive analysis of boundary artifacts, enabling the apparatus to identify and mitigate distortions more effectively. The detection unit may use various algorithms to analyze pixel data and determine the presence of block boundaries, such as edge detection or statistical methods. The apparatus may also include additional processing units to refine the detected boundaries or apply corrections to the image data. For example, a filtering unit could smooth out detected boundaries to reduce visible artifacts. The two-directional map ensures that both horizontal and vertical boundaries are considered, providing a more complete solution for improving image quality. This approach is particularly useful in applications like video streaming, digital broadcasting, or high-definition display systems where minimizing compression artifacts is critical. The invention enhances visual fidelity by accurately identifying and addressing block boundaries in real-time or during post-processing.
8. The display apparatus of claim 1 , wherein the processor is configured to identify the block boundary period based on an offset when the received image includes a letter box.
A display apparatus processes video signals to improve image quality by identifying and adjusting for block boundary periods, particularly in letterboxed content. The apparatus includes a processor that analyzes incoming image data to detect block boundaries, which are transitions between image blocks that can cause visual artifacts. When the received image includes a letterbox format, the processor calculates the block boundary period using an offset value. This offset accounts for the letterboxing, ensuring accurate detection of block boundaries even in non-full-screen content. The processor then applies adjustments to mitigate artifacts such as flickering or distortion at these boundaries. The apparatus may also include a memory for storing configuration data and a display for rendering the processed image. The system enhances viewing quality by dynamically adapting to different image formats and boundary conditions, reducing visual disruptions caused by block transitions.
9. A method of controlling a display apparatus, the method comprising: receiving an image; providing a block boundary map including a first block boundary map corresponding to the image by performing convolution using a plurality of kernels on the image and a second block boundary map by correcting the first block boundary map based on continuity of a block boundary included in the first block boundary map; obtaining a histogram by accumulating a number of block boundaries included in the second block boundary map; obtaining an average block edge strength based on the histogram; identifying a block boundary period based on the average block edge strength; identifying a filter parameter based on the block boundary map corresponding to the image and the block boundary period corresponding to block boundaries included in the block boundary map corresponding to the image, the block boundary period indicating an interval between the block boundaries included in the block boundary map corresponding to the image; performing deblocking filtering on the image by varying a filter strength based on the identified filter parameter; and displaying a result of the filtering.
This invention relates to image processing, specifically to reducing block artifacts in displayed images. Block artifacts often occur in compressed images, such as those encoded using block-based compression techniques like JPEG or MPEG, where visible grid-like boundaries appear due to quantization and block-based processing. The invention addresses this by detecting and smoothing these block boundaries while preserving image details. The method involves receiving an input image and generating a block boundary map. This is done by applying multiple convolution kernels to detect block boundaries, followed by a correction step to ensure continuity in the detected boundaries. The corrected boundary map is then analyzed to create a histogram of boundary occurrences, which is used to compute an average block edge strength. From this, a block boundary period is identified, representing the spacing between detected boundaries. Using the boundary map and period, a filter parameter is determined to guide deblocking filtering. The filtering process adjusts its strength based on this parameter, effectively smoothing block boundaries while minimizing distortion to non-boundary regions. The filtered image is then displayed. This approach dynamically adapts filtering strength to the detected block structure, improving visual quality without excessive blurring.
10. The method of claim 9 , wherein the identifying of the filter parameter includes identifying the filter parameter based on at least one of the block boundary period, a reliability of the block boundary period, or the block edge strength included in the block boundary map.
This invention relates to video processing, specifically methods for identifying and utilizing filter parameters to enhance video quality. The problem addressed involves improving the accuracy and efficiency of video filtering, particularly in detecting and processing block boundaries that can degrade visual quality. The method involves analyzing a block boundary map generated from a video frame to identify filter parameters. The block boundary map includes information about block edges and their characteristics. The filter parameter is determined based on at least one of the block boundary period, the reliability of the block boundary period, or the block edge strength. The block boundary period refers to the frequency or spacing of block edges within the frame, while the reliability indicates the confidence level in the detected block boundaries. The block edge strength represents the intensity or prominence of the detected edges. By evaluating these factors, the method selects appropriate filter parameters to optimize the filtering process. This ensures that filtering is applied effectively to reduce artifacts while preserving important visual details. The approach enhances video quality by dynamically adjusting filtering based on the detected block boundary characteristics, improving both computational efficiency and visual fidelity.
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December 7, 2018
March 29, 2022
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